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Omid Halimi milani

Mid-level AI/ML Engineer specializing in multimodal and LLM (RAG) systems

Motorola MobilityUniversity of Illinois ChicagoChicago, IL6 Years ExperienceMid LevelWorks On-Site

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Experience

AI/Software Engineering InternMotorola Mobility (Lenovo) · Jul 2024 – Dec 2024internship
AI Research Intern, Multimodal Data ScienceGoogle Research · Dec 2023 – Apr 2024internship
Ph.D. Research AssistantUniversity of Illinois Chicago · Jan 2020 – Present
M.Sc. Researcher, IoT SystemsTehran Polytechnic · Jan 2016 – Jan 2019

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Education

University of Illinois Chicagodoctorate, Electrical & Computer Engineering (2025)
Amirkabir University of Technologymaster, Electrical & Computer Engineering (2019)
University of Tabrizbachelor, Electrical & Computer Engineering (2015)

Awards

  • Graduate Research Award, UIC ($3,000)
  • MVAPICH Travel Grant ($1,100)
  • Top 0.5% National M.Sc. Exam Rank

Skills

Artificial IntelligenceMachine LearningDeep LearningLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Data PreprocessingTransformersLLaMAPythonPyTorchTensorFlowScikit-learnPandasCC++

Languages

English

Publications

14 publications

Medical imaging AI (dental/orthodontic X-ray and CBCT analysis)Deep learning for clinical staging and decision supportMultimodal learning and multimodal fusionFederated/distributed learning and adversarial robustnessIoT and cloud/edge computing optimizationPredictive modeling in healthcare and automotive emissionsMicrogrids and energy optimization in smart cities

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EducationEducation in Chicago MetroArtificial IntelligenceMachine LearningDeep LearningLarge Language Models

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Connect with Omid

Omid already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

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Already have an account?

Hire with Reval

Find your next great hire

Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.

$250one-time kickoff
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Omid Halimi milaniMid-level AI/ML Engineer specializing in multimodal and LLM (RAG) systems